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A formalism for characterizing vegetation responses using classification trees and Dempster-Shafer theory of evidence.

机译:使用分类树和Dempster-Shafer证据理论表征植被反应的形式主义。

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Predictive models of vegetation change are urgently needed for range management and conservation purposes. Traditional approaches based an climax equilibrium theory do not fit observed dynamics of important types of grasslands and shrublands. Most alternative community- and species-based models require sophisticated information, are only locally applicable or produce predictions that are not directly interpretable for management decisions. Information currently gathered in management settings is mostly ignored despite its potential utility for predicting species responses to disturbance regimes/events and management practices. This study merges elements of comparative and functional ecology in a conceptual approach to employ management-level knowledge and autecological information in the characterization of vegetation responses. A formalism is proposed for practical applications that includes specific methods for identifying response groups of species and criteria for establishing agreement among expert sources. Classification trees are used for arranging individual species into response groups according to autecological similarities for a set of adaptive attributes and specific responses obtained from expert sources. Profiles of attributes associated with responses to individual disturbance factors are then combined and most probable trends for response groups are generated using Dempster-Shafer mathematical theory of evidence: Predictive rules and attached belief intervals can be produced for every non-empty combination of autecological profiles previously determined for individual disturbance factors. This provides generality and portability across physiognomically similar vegetation types. The species profile approach also has important implications for the conservation of functional diversity and risk evaluation of invasion potential by non-native species. A general application of the formalism to the vegetation of the Edwards Plateau (Texas, USA), involving predictions for the effects of grazing and fire, is implemented and limitations and future developments required are discussed.
机译:为了范围管理和保护目的,迫切需要植被变化的预测模型。基于高潮平衡理论的传统方法不适合观察到的重要草地和灌木类型的动态。大多数基于社区和物种的替代模型都需要复杂的信息,仅适用于本地或产生无法直接解释为管理决策的预测。尽管在管理环境中收集的信息可用于预测物种对干扰状况/事件和管理实践的响应,但仍被忽略。这项研究在概念上融合了比较生态学和功能生态学的要素,以利用管理水平的知识和自律学信息来表征植被响应。提出了一种针对实际应用的形式主义,其中包括识别物种响应组的特定方法以及在专家资源之间建立协议的标准。分类树用于根据自科相似性将个体物种分为响应组,以获取一组自适应属性和从专家来源获得的特定响应。然后合并与对单个干扰因素的响应相关的属性的配置文件,并使用Dempster-Shafer数学证据理论生成响应组的最可能趋势:可以为以前的每个非空组合的诊治配置文件生成预测规则和附加的置信区间确定单个干扰因素。这提供了在相貌相似的植被类型上的通用性和便携性。物种概况方法对于保护功能多样性和评估非本地物种入侵潜力的风险也具有重要意义。形式主义在爱德华兹高原(美国得克萨斯州)植被上的一般应用,包括对放牧和火灾影响的预测,已得到实施,并讨论了局限性和所需的未来发展。

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